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This paper provides empirical evidence on delinking and Environmental Kuznets Curve (EKC) for municipal waste production in Italy. First, methodological issues and literature on delinking and EKC for waste are critically re-examined. Secondly, we analyse two very disaggregated panel datasets on Italian Regions and Provinces (1996-2004 data for the 20 regions, 2000-2004 data for the 103 provinces) to estimate the extent to which delinking between waste production and economic drivers is taking place. The empirical analysis of different specifications shows mixed evidence in favour of an EKC relationship. Evidence supporting an EKC hypothesis significantly arises at a provincial level, which presents a very high data heterogeneity. Nevertheless, the turning point is at very high levels of added value per capita (around 23,000-26,000€), which characterise a very limited number of wealthy (Northern) Italian provinces. The analysis does not reveal a similar evidence for the regional dataset: only a relative delinking dynamic emerges at the provincial level, we also note a positive relationship between waste production and the share of separated waste collection, which can be explained by the sharp difference in income and waste-policy performance between Northern and Southern Italy. Population density is not significant. Finally, the test on some policy proxies, i.e. the diffusion of the new waste tariff regime at the local-level and the ability of utilities to recover waste service cost, leads to the conclusion that they are not (yet) impacting waste production. To lower the turning points and to avoid an increasing gap between geographical areas, innovative (market based) and more effective policy instruments should be implemented. In particular, the weight of waste policies should be rebalanced towards waste prevention targets and instruments, in line with the priorities stated by the EU and Member Countries. In fact, the indirect feedback effect of good post-production waste management policies/practices on reducing waste production at a source can be weak and slow. In general, the results confirm that more geographically-disaggregated data may offer more insights with respect to cross-country datasets, also from the policy perspective.

This paper illustrates the main results of an expert elicitation survey on advanced (second and third generation) biofuel technologies. The survey focuses on eliciting probabilistic information on the future costs of advanced biofuels and on the potential role of Research, Development and Demonstration (RD&D) efforts in reducing these costs and in supporting the deployment of biofuels in Organisation for Economic Co-operation and Development (OECD) and non-OECD countries. Fifteen leading experts from different EU member states provide insights on the future potential of advanced biofuel technologies both in terms of costs and diffusion. This information results in a number of policy recommendations with respect to public RD&D strategies and is an important contribution to the integrated assessment modelling community.

The major factor in successful marketing and development strategies is a correct understanding of consumer behavior. Recognizing the consumer behavior is the key to market development. It is impossible to establish systematic relationship between producers and consumers while the consumer behavior is not recognized. Demand elasticities seem very important in decision-making processes and in causing different behavior of consumer in buying occasions. Producers, food processors, and retailers need to recognize consumer’s behavior in forming the demand to plan well their production and selling, thus, demand elasticities are of crucial importance. The shortage of studies in the field of estimating demand and elasticity using artificial neural networks (ANN) among the economic issues was the most important motivation of this study. Parameters were estimated using the ANN that is widely used and is called multi-layer feed-forward neural network (MLFN). It is important to point out that among the input variables, some socio-demographic variables were included, it seems that beside the traditional economic variables some non-economic factors can affect the consumers’ choices as well. In this paper the consumer’s behavior in the “Mayadin Management Organization” of Tehran for vegetable crops, summer crops like potato, onion, tomato was modeled using the ANN and particularly the demand curve and the elasticities were estimated.

Abstract We present a novel method of determining the contribution of load-shifting Demand Response (DR) to energy and reserve markets. We model DR in an Mixed Complementarity Problem (MCP) framework with high levels of wind penetration. Investment, exit and operational decisions are optimized simultaneously. We examine the potential for DR to participate in both energy and reserve markets. DR participation in the energy market reduces costs and prices and gives rise to lower equilibrium levels of investment in conventional generation. DR and wind generation are strongly complementary, due to the ability of DR to mitigate against the variability of wind generation, with the highest reduction of consumer costs seen at high levels of wind penetration. The total impact of DR is highly dependent on specific system characteristics.

This paper assesses the economic impacts of linking the EU emissions trading scheme (ETS) to emerging schemes beyond Europe in the presence of a post-Kyoto agreement in 2020. Numerical simulations with a multi-country equilibrium model of the global carbon market show that linking the European ETS induces only minor economic benefits. As trading is restricted to energy-intensive companies that are assigned high initial emissions, the major compliance burden is carried by the non-trading industries excluded from the linked ETS. In the presence of parallel government trading under a post-Kyoto Protocol, the burden of the excluded sectors can be substantially alleviated by international permit trade at the country level. However, the parallel carbon markets of linked ETS companies and post-Kyoto governments are still separated here. From an efficiency perspective, the most desirable future climate policy regime is thus represented by a joint trading system facilitating international emissions trading between ETS companies and post-Kyoto governments. While the Clean Development Mechanism is not able to attenuate the inefficiencies within linked ETS, in a parallel or joint trading regime the economy-wide access to project-based abatement options in developing countries induces large additional cost-savings.

An analysis of the efficiency of wine and grapevine producers in Italy was performed. Data for 2005 and 2010 from the Farm Accountancy Data Network were used; this network records the balance sheets of a representative sample of farms. The data were analyzed using data envelopment analysis, which is a method for estimating the comparative efficiency of a group of farms. We investigated the determinants of the estimated levels of efficiency through an econometric model, aiming to understand which farm and area characteristics affect the differences in efficiency levels. The results indicate that between 2005 and 2010, a reduction in grape prices led to an increase in the efficiency of companies producing wine compared with a significant reduction among companies that are dedicated exclusively to the production of grapes. Keywords: Data envelopment analysis, Tobit model, Italian wine and grapevine production

This paper proposes a modified version of Swamy’s test of slope homogeneity for panel data models where the cross section dimension (N) could be large relative to the time series dimension (T). We exploit the cross section dispersion of individual slopes weighted by their relative precision. Using Monte Carlo experiments, we show that the test has the correct size and satisfactory power in panels with strictly exogenous regressors for various combinations of N and T. For autoregressive (AR) models the test performs well for moderate values of the root of the autoregressive process, but with roots near unity a bias-corrected bootstrapped version performs well even if N is large relative to T. The cross section dispersion tests are used to test the homogeneity of slopes in autoregressive models of individual earnings using the PSID data and show statistically significant evidence of slope heterogeneity in the earnings dynamics.